33 results about "Planning theory" patented technology

The invention relates to a power transmission network and power distribution network coordinated dynamic economy scheduling method based on multi-parameter planning, which belongs to the technical field of electric power system operations. With the comprehensive considerations of the dynamic economy scheduling models of the power transmission network and the power distribution network as well as the coupling relationship between the power transmission network and the power distribution network, the power transmission and distribution coordinated dynamic economy scheduling model is established. For the proposed power transmission and distribution coordinated dynamic economy scheduling model, a multi-parameter planning theory is utilized and an iterative solving algorithm for the power transmission and distribution coordinated dynamic economy scheduling model is provided. The proposed algorithm possesses a good converging speed, suitable for the problem of power mismatching between the power transmission network and the power distribution network caused when renewable energy is accessed and can obtain the optimal solution to the global power transmission and distribution.

The present invention provides a power supply optimization configuration bilevel programming method in an active distribution network region. The method comprises the following steps: basic data acquisition, model construction, model transformation, algorithm parameter initialization, initial network loss resolution, power generation cost correction per unit power, upper planning scheme resolution, lower planning scheme resolution, iteration termination condition discrimination and the like. Based on an integrated resource strategy planning theory, the method provided by the present invention considers a generalized power supply represented by a photovoltaic power source and an interruptible load from a whole society angle, and establishes the power supply extended optimization bilevel programming model in the active distribution network region. The method comprises: according to the upper-level planning scheme, for the purpose of the lowest total cost of general power supply construction, power generation and pollution treatment, optimizing each power supply installed capacity; according to the lower-level planning scheme, for the purpose of minimum electrical power loss, locating and sizing the general power supply; and finally performing resolution in combination with a simplex method and an improved PSO algorithm. Compared with the conventional programming method, the bilevel programming method provided by the present invention has a significant effect of energy saving and emission reduction, a high resource utilization rate and an improved whole social benefit.

The invention discloses a photovoltaic power generation accommodating capacity calculation method taking static voltage stability into consideration in the field of power system photovoltaic power generation planning. The technical scheme includes that the method includes determining calculation conditions; analyzing light intensity data of a planned photovoltaic power station site area, acquiring a probability density function of photovoltaic array output power of the area, and determining actual capacity of a photovoltaic power station; building a probability optimal power flow model based on a chance-constrained planning theory; taking a Jacobian matrix minimum eigenvalue as an index measuring the static voltage stability of a system and as a part of an inequality constraint condition to be led into the probability optimal power flow model; utilizing an intelligent optimization algorithm to solve the optimal power flow model to acquire photovoltaic power generation accommodating capacity. By the method, photovoltaic capacity randomness can be taken into consideration, solar direct radiation, reflection, scattering radiation and temperature data are not needed, and the model is concise and accurate; more reasonability in result is realized by leading in a static voltage stability allowance index.

The invention discloses a dispatching method for overcoming current unbalance of a wind power grid-connected system. A TCSC is considered in electric power system dispatching, a bi-layer planning theory is introduced, the full-grid current balance degree in a dispatching period serves as an optimization objective of an upper-layer model, contributions of a conventional unit serve as a control measure, and the balance, the safety and the stability of current distribution of an overall grid are guaranteed; the key cross section current balance degree in the dispatching period serves as an optimization objective of a lower-layer model, and the ESS charging-discharging power and the TCSC serve as control measures so that the balance of current distribution of key cross sections can be guaranteed. The balance of the current is overall and locally guaranteed through coordinated control of the contributions of the conventional unit, the ESS charging-discharging power and the TCSC, the current disturbance problem caused by wind power fluctuation is well solved, the safety of the system can be improved, current distribution of the system can be optimized, current fluctuation of a line can be reduced, a safe and stable state of the overall grid is strengthened, and the requirements of system operation dispatching are met.

The invention discloses an energy-efficiency-fairness-based resource distribution and power control method in an OFDMA two-layer heterogeneous network system. On the condition of given cross-layer interference constraint limiting, the invention aims at solving an energy-efficiency-fairness-based resource block distribution and power control strategy in a femtocell network system. In order to solve a non-convex multi-target fractional optimization problem integrated with a shaping variable, conversion is carried out based on a fractional planning theory and solving is carried out by using a generalized Dinkelbach's algorithm (GDA). Especially, a distributed algorithm for limited information interaction between femtocells is designed and an optimal resource distribution and power control strategy is obtained finally to solve sub problems in the GDA. After simulated verification by a computer, the method has the beneficial effects that the minimum efficiency and fairness of the network system can be improved effectively.

A grid binary tree method is divided into two main phases-an offline preprocessing phase and an online computation phase. The theory of multi-parameter secondary programming is introduced in the offline preprocessing phase. A computer can autonomously divide the state space of a control system into convex partitions and obtains control rate corresponding to each partition through computation. Then we construct a hash table grid area polytope according to division parameters and construct a binary tree in a grid area in which a conflict exists. In the online computation phase, firstly the located grid area is rapidly determined according to the coordinates of state points, the control rate of the state points is obtained through screening of the constructed binary tree or is directly obtained, and control output quantity of the system is obtained through simple linear operation.

The present invention relates to an energy efficiency optimization method of heterogeneous network enhanced inter-cell interference coordination. A 3GPP proposes the enhanced inter-cell interference coordination (eICIC), and aims to keep the interference of the silence reduction to a low-power base station, such as a micro cell, a pico cell, etc. in the almost blank subframes (ABS) via a macro cell, and the energy-efficient (EE) is very crucial for the intensive deployment of the low-power nodes. According to the present invention, an energy efficiency optimization enhanced inter-cell interference coordination (EE-eICIC) algorithm solves the energy efficiency distribution of the ABS and the energy efficiency access of the user equipment, and a modeling optimization problem is a non-smoothing and mixed integer problem, so that a sub-optimal algorithm is provided. The sub-optimal algorithm adopts the generalized fractal planning theory and the convex optimization theory, and solves by the iterative and relaxation rounding algorithms. The simulation results show that the EE-eICIC algorithm has the better performances both at the energy efficiency aspects of the systems and the users. The energy efficiency optimization method of the heterogeneous network enhanced inter-cell interference coordination of the present invention can be used for the realization of an actual heterogeneous cellular network based on the eICIC energy efficiency load distribution.

The invention discloses an explicit model forecast control-based flight path control method of an unmanned surface vehicle. The explicit model forecast control-based flight path control method comprises the steps of firstly, building a control model of the unmanned surface vehicle, and acquiring position gesture and reference flight path point information of the unmanned surface vehicle; secondly,calculating expected flight speed and heading direction in real time according to a path planning algorithm, and simplifying ship flight path control to heading direction control; and finally, obtaining a rotational speed and a rudder angle of a propeller by a display model forecast control algorithm for the unmanned surface vehicle to achieve ship flight path control. The explicit model forecastcontrol algorithm is applied to the field of flight path control of the unmanned surface vehicle, the complicated on-line optimization process is converted to simple table lookup process by introducing a multi-parameter secondary planning theory, the on-line calculation complexity is reduced, and the real-time performance of a flight path control system is improved.

The invention relates to a random planning method for a power distribution network containing large-size photovoltaic power generation and gird connection. The random planning method comprises the steps of simulating an output curve of a large-size photovoltaic power station according to real-time illumination intensity and ambient temperature data, considering randomness and fluctuation of photovoltaic output, building a random expectation value two-layer planning mathematical model of the power distribution network containing large-size photovoltaic power generation and gird connection according to an equivalent energy function method and a random planning theory, designing a reasonable hybrid algorithm according to a self-adaptive genetic algorithm and a primal-dual interior point method, and performing effective solving on the planning model to obtain an optimal planning scheme. By the random planning method, the random planning demand of a power grid containing large-size photovoltaic power generation and gird connection is satisfied, and the random planning method has the advantages of clear logic structure, practicability and reasonableness. The method conforms to the large-size photovoltaic development trend at the present stage and in future, has high theoretical property and practicability, and can be widely applied to random planning simulation calculation of a power system for large-size photovoltaic power generation.

The invention discloses a self-adaptive internal mold vibration control method of an intelligent fan blade based on grey information optimization. The self-adaptive internal mold vibration control method based on grey information theory optimization is adopted for uncertain factors existing in an intelligent fan blade vibration system in a complex operating environment, that is, the blade vibration system under the influence of uncertain factors is accurately identified by using a grey incidence optimization differential evolution identifying way, so that the internal mold vibration process is identified more ideally and accurately; and the parameters of a self-adaptive internal mold vibration controller for a blade is self-adaptively optimized and adjusted by using a grey planning theory, so that the dynamic characteristics and the robustness of a control system are beneficial for being improved, and a high-performance intelligent fan blade self-adaptive vibration control effect can be obtained when a closed-loop system overcomes the influence of uncertain factors. The self-adaptive internal mold vibration control method based on grey information optimization, provided by the invention, can overcome the influence of uncertain factors of the intelligent fan blade in the complex operating environment.

The invention discloses a measurement method of the depth of a metal surface hardening layer with a curve surface, which is characterized by comprising the following steps of: adopting a photothermal radiation measurement method for measurement, respectively obtaining the amplitude of the surface temperature field of the sample before and after hardening and the measurement value of frequency variation relative to modulated light; then carrying out self normalization processing to obtain normalized amplitude and phase value corresponding to the frequency value; utilizing plan theory and adopting a forward numerical fitting algorithm for fitting so as to obtain a profile curve with thermal conductivity changing along the depth; and the hardening depth is analyzed by the profile curve of the thermal conductivity. The measurement method obtains the depth of the surface hardening layer of the metal sample, thus conveniently realizing non-destructive measurement to the thickness of the surface hardening layer of the metal sample with the curve surface.

The invention relates to an electric quantity distribution method with renewable energy participating in medium-and-long-term power transaction. The electric quantity distribution method comprises thefollowing steps: 1) according to clearing data of an energy market, formulating a declaration electricity price of a power generation enterprise; 2) according to a two-layer planning theory, establishing a two-layer planning model in which renewable energy participates in medium-and-long-term power transactions; and 3) solving the two-layer planning model by adopting a hybrid algorithm combiningthe discrete particle swarm and the continuous particle swarm and a nonlinear planning method, and completing the distribution of the electric quantity of the power generation enterprise and the electricity price of the power user according to the obtained optimal solution. Compared with the prior art, the electric quantity distribution method has the advantages of accurate distribution, practicability, reasonableness and the like.

The invention discloses a static equivalent assessment method for renewable energy consumption capability by considering elastic space. The method mainly comprises the following steps: 1) obtaining electric power system data; 2) establishing an electric power system elastic space equivalent evaluation model; and 3) calculating the elastic space equivalent evaluation model of the power system by using a multi-parameter planning theory to obtain a renewable energy unit output feasible region RGT and a tie line transmission power feasible region RPT. Under the condition that system variable constraint and N-1 safety constraint are met, intra-network consumption improvement effect and intra-network consumption improvement effect of elastic space on renewable energy sources are evaluated. The improvement space of the consumption capacity of the renewable energy sources is directly evaluated.

Provided is a control system midpoint positioning method. A two-stage grid method is divided into two main stages: an off-line preprocessing stage and an on-line calculating stage. The off-line preprocessing stage brings in a multi-parametric quadratic programming theory, and a computer can automatically divide state space of a control system into a plurality of raised partitions and calculates to obtain the control rate corresponding to each partition. Then a hash table mesh region is formed on the state space, and each mesh region is performed by different processing. In the on-line calculating stage, the hash table mesh region where the present state point of the system is determined through a hash function, the state point partition is further searched, and the control rate corresponding to the partition is obtained, and system control output quantity is obtained through simple linear operation.

A fast binary tree method is divided into two main stages which are an offline pre-processing stage and an online computation stage. A multi-parameter quadratic programming theory is introduced in the offline pre-processing stage, and a computer is used for automatically dividing a state space of the control system into convex sub-regions one by one, and calculating to obtain the control rate corresponding to each sub-region; then a binary tree is established by selecting a reference hyperplane through indexes. The online computation stage is consistent with a conventional binary tree method; a position relationship between a point and the hyperplane is judged to quickly screen and determine sub-regions, the control rates corresponding to the sub-regions are obtained, and the control output quantity of the system is obtained through simple linear operation.

The invention provides a method oriented to land utilization and traffic multi-scale simulation, and belongs to the technical field of urban planning. The method is characterized in that a macroscopic model is combined with a microscopic model on the basis of a land utilization and traffic integration theory, a system dynamics model theory, an irregular cellular automata model theory and a scenario planning theory, and urban social economic data is adopted, so that urban land evolution and traffic system evolution can be simulated. An aggregation result generated by the macroscopic model is applied to the allocation of the microscopic model in order to construct a model which has a system aspect, an individual aspect and macroscopic and microscopic features and is more accordant with the urban general development law and the people-oriented urban planning thought. A frontier research irregular cellular automata model in the neighborhood of an urban model is combined with a conventional traffic four-phase model in order to construct a microscopic land utilization and traffic integration model based on a specific evolution rule, so that different scenario planning can be analyzed and predicted more specifically.

The invention discloses an adaptive internal model vibration control method based on gray information optimization for intelligent fan blades. The method aims at various uncertain factors existing in the vibration system of intelligent fan blades in a complex operating environment, and adopts a method based on gray information theory optimization. The self-adaptive internal model vibration control method uses the differential evolution identification method of gray relational optimization to accurately identify the blade vibration system under the influence of uncertainty, making the identification of the internal model vibration process more ideal and accurate; The parameters of the modal vibration controller are adaptively optimized and adjusted, which is conducive to improving the dynamic characteristics and robustness of the control system, so that the closed-loop system can achieve high-performance adaptive vibration control of intelligent fan blades while overcoming the influence of uncertain factors. Through the present invention, the gray optimization self-adaptive internal model vibration control method provided can overcome the influence of multiple uncertain factors of intelligent fan blades in a complex working environment.

The invention discloses a multi-objective planning method for power distribution network frame structure transition considering load flexibility requirements. The method comprises the steps of inputting power distribution network line parameters and construction, operation and maintenance cost information; establishing an objective function with the minimum total cost present value and the minimum system average power supply unavailability in a planning period and voltage deviation constraint, power supply node active power constraint, line current constraint and connectivity constraint of the power distribution network according to the line parameters of the power distribution network and the construction operation and maintenance cost information; according to an opportunity constraint planning theory, modifying the voltage deviation constraint, the power supply node active power constraint and the line current constraint into an opportunity constraint considering the load flexibility requirement; solving an objective function and constraint conditions by adopting a classical multi-objective algorithm which performs non-dominated sorting by utilizing an elitist retention strategy to obtain a Pareto front edge, and sorting individuals in the Pareto front edge by utilizing TOPSIS to obtain an optimal solution of a problem. The method is a better combination scheme which gives consideration to both reliability and economy.

The invention relates to the field of hydropower dispatching operation, in particular to an automatic avoiding method for a high-water-head irregular multi-limiting area of a main stream cascade hydropower station group. According to the technical scheme, on the basis that mathematical definition is carried out on constraint of a unit limiting area, automatic analysis technology subdivision is carried out on an irregular limiting area through a Hertel-Mehlhorn-based convex subdivision algorithm, and then modeling is carried out on a subdivision result through a convex optimization theory and adisjunction planning theory. According to the method, irregular multi-limit areas can be automatically avoided, and the effects of automatic modeling and solving are achieved. The method has important significance for responding to power grid differentiation and automatic dispatching application in the future and responding to the new situation of frequent change of hydropower output under the market condition.

The invention discloses a numerical optimization method capable of rapidly determining energy optimal interception predicated hit points. The method specifically comprises the following steps: (1) giving a test value of independent variable X, and setting coefficient matrixes u and v; (2) calculating a partial derivative matrix FF' (X) by a formula (22) and a formula (24); (3) calculating a new independent variable value X(k+1) by a formula (25); and (4) judging whether convergence exists or not; if delta XX=XX(k+1)-XX(k) is smaller than limits of error, ending the calculation; otherwise transferring to step (2), and repeating steps (2)-(4). According to the numerical optimization method, on the basis of a Kepler track theory and P iterative method-based Gauss problem, the problem of the minimum velocity correction of intercepted orbital transferring of orbital maneuvering for a target is converted into an optimal planning problem; through an optimal planning theory, KKT condition corresponding to delta vmin is obtained, and meanwhile, Newton iteration is further designed for rapidly solving KKT condition, so that analytical gradient information can be obtained. Compared with a common search algorithm, the method has the advantages of high calculation precision, high speed and insensitivity to an initial value.

The invention discloses a method for expanding a tie line power feasible region of an interconnected power grid. The method mainly comprises the following steps of 1) establishing an economic dispatching model with a coupling variable; 2) determining the tie line power feasible region based on an improved multi-parameter planning theory; 3) expanding the tie line power feasible region. According to the method, the tie line power feasible region can be rapidly determined, and the feasible region is effectively expanded by identifying the key factors of the tie line power feasible region.

The invention discloses a method for rapidly determining tie line power feasible regions of interconnected power grids. The method comprises the main steps of 1) establishing an economic dispatching model with coupling variables; and 2) determining a tie line power feasible region on the basis of an improved multi-parameter planning theory. The method is capable of improving the depiction efficiency of tie line power feasible regions.

An energy efficiency optimization method for enhanced inter-cell interference coordination in heterogeneous networks, 3GPP proposed enhanced inter-cell interference coordination (eICIC), which aims to reduce the impact on low power by keeping silent in almost blank subframes (ABS) of macro cells Interference from base stations (such as microcells, picocells, etc.). Energy-Efficient (EE) is critical for dense deployment of low-power nodes. In the present invention, the EE-eICIC algorithm is used to solve the energy-efficient allocation of almost blank subframes (ABS) and the energy-efficient access of user equipment. Since the optimization problem of modeling is a non-smooth and mixed integer problem, a suboptimal algorithm is proposed. The suboptimal algorithm adopts generalized fractional programming theory and convex optimization theory, and solves it by iteration and relaxation rounding algorithm. The simulation results show that the EE‑eICIC algorithm has better performance in terms of both system and user energy efficiency. The invention can be used in the realization of load distribution based on eICIC energy efficiency in actual heterogeneous cellular networks.

The invention relates to a random planning method for a power distribution network containing large-size photovoltaic power generation and gird connection. The random planning method comprises the steps of simulating an output curve of a large-size photovoltaic power station according to real-time illumination intensity and ambient temperature data, considering randomness and fluctuation of photovoltaic output, building a random expectation value two-layer planning mathematical model of the power distribution network containing large-size photovoltaic power generation and gird connection according to an equivalent energy function method and a random planning theory, designing a reasonable hybrid algorithm according to a self-adaptive genetic algorithm and a primal-dual interior point method, and performing effective solving on the planning model to obtain an optimal planning scheme. By the random planning method, the random planning demand of a power grid containing large-size photovoltaic power generation and gird connection is satisfied, and the random planning method has the advantages of clear logic structure, practicability and reasonableness. The method conforms to the large-size photovoltaic development trend at the present stage and in future, has high theoretical property and practicability, and can be widely applied to random planning simulation calculation of a power system for large-size photovoltaic power generation.

The invention discloses a numerical optimization method capable of rapidly determining energy optimal interception predicated hit points. The method specifically comprises the following steps: (1) giving a test value of independent variable X, and setting coefficient matrixes u and v; (2) calculating a partial derivative matrix FF' (X) by a formula (22) and a formula (24); (3) calculating a new independent variable value X(k+1) by a formula (25); and (4) judging whether convergence exists or not; if delta XX=XX(k+1)-XX(k) is smaller than limits of error, ending the calculation; otherwise transferring to step (2), and repeating steps (2)-(4). According to the numerical optimization method, on the basis of a Kepler track theory and P iterative method-based Gauss problem, the problem of the minimum velocity correction of intercepted orbital transferring of orbital maneuvering for a target is converted into an optimal planning problem; through an optimal planning theory, KKT condition corresponding to delta vmin is obtained, and meanwhile, Newton iteration is further designed for rapidly solving KKT condition, so that analytical gradient information can be obtained. Compared with a common search algorithm, the method has the advantages of high calculation precision, high speed and insensitivity to an initial value.

The invention discloses a dispatching method for overcoming current unbalance of a wind power grid-connected system. A TCSC is considered in electric power system dispatching, a bi-layer planning theory is introduced, the full-grid current balance degree in a dispatching period serves as an optimization objective of an upper-layer model, contributions of a conventional unit serve as a control measure, and the balance, the safety and the stability of current distribution of an overall grid are guaranteed; the key cross section current balance degree in the dispatching period serves as an optimization objective of a lower-layer model, and the ESS charging-discharging power and the TCSC serve as control measures so that the balance of current distribution of key cross sections can be guaranteed. The balance of the current is overall and locally guaranteed through coordinated control of the contributions of the conventional unit, the ESS charging-discharging power and the TCSC, the current disturbance problem caused by wind power fluctuation is well solved, the safety of the system can be improved, current distribution of the system can be optimized, current fluctuation of a line can be reduced, a safe and stable state of the overall grid is strengthened, and the requirements of system operation dispatching are met.

The fast binary tree method is divided into two main stages - offline preprocessing stage and online calculation stage. The multi-parameter quadratic programming theory is introduced in the offline preprocessing stage. The computer can divide the state space of the control system into convex partitions and calculate the control rate corresponding to each partition. Then we select the reference hyperplane through the index. Build a binary tree. The online calculation stage is consistent with the traditional binary tree method. The partition is quickly screened and determined through the positional relationship between the judgment point and the hyperplane, and the corresponding control rate of the partition is obtained. The control output of the system is obtained through simple linear operations.

Power supply and power flow structure optimization method based on multi-stage stochastic programming theory, use Monte Carlo simulation method to generate scenes; use fast forward scene tree reduction algorithm to reduce the scene, obtain the scene tree, and obtain the power consumption prediction error of each node in the scene tree The value and probability of value; establish a multi-stage stochastic optimization model of power supply and power flow structure; bring the value and probability of power consumption prediction error of each node in the scene tree into the multi-stage stochastic optimization model of power supply and power flow structure In , the multi-stage stochastic optimization model of power supply and power flow structure is solved to obtain a set of optimization schemes. The present invention can reasonably consider the impact of renewable energy access on power grid peak regulation under the environment of rapid development of renewable energy and uncertainties in power consumption growth in the future, and provides a set of solutions when facing uncertainties , compared with other existing methods, it has higher flexibility and applicability, and has good performance in long-term optimization.

The invention provides a multi-scale simulation method for land use and traffic, which belongs to the technical field of urban planning. This method is based on land use and traffic integration theory, system dynamics model theory, irregular cellular automata model theory and scenario planning theory, combines macro model and micro model, and uses urban socioeconomic data to simulate Urban land evolution and transportation system evolution. The present invention uses the aggregation results generated by the macro model in the distribution of the micro model, and constructs a model that combines both the system angle and the individual angle, and the macro and micro characteristics, which is more in line with the general development law of the city and the people-oriented urban planning idea. Combining the irregular cellular automaton model of the frontier research in the urban model neighborhood with the traditional four-stage traffic model, constructing a microscopic land use and traffic integration model based on specific evolution rules, and more targeted planning for different scenarios Analyze and forecast.